Package: SpaceTimeBSS 0.4-0
Klaus Nordhausen
SpaceTimeBSS: Blind Source Separation for Multivariate Spatio-Temporal Data
Simultaneous/joint diagonalization of local autocovariance matrices to estimate spatio-temporally uncorrelated random fields.
Authors:
SpaceTimeBSS_0.4-0.tar.gz
SpaceTimeBSS_0.4-0.tar.gz(r-4.5-noble)SpaceTimeBSS_0.4-0.tar.gz(r-4.4-noble)
SpaceTimeBSS_0.4-0.tgz(r-4.4-emscripten)SpaceTimeBSS_0.4-0.tgz(r-4.3-emscripten)
SpaceTimeBSS.pdf |SpaceTimeBSS.html✨
SpaceTimeBSS/json (API)
# Install 'SpaceTimeBSS' in R: |
install.packages('SpaceTimeBSS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Uses libs:
Datasets:
- meteo_veneto - Climate and Meteorological Deseasonalized Data in Veneto
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 months agofrom:c526dd416a. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 27 2024 |
R-4.5-linux-x86_64 | OK | Nov 27 2024 |
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Blind Source Separation for Multivariate Spatio-Temporal Data | SpaceTimeBSS-package |
Coef Method for an Object of Class 'stbss' | coef.stbss |
Local Autocovariance Matrices | lacov |
Climate and Meteorological Deseasonalized Data in Veneto | meteo_veneto |
Print Method for an Object of Class 'stbss' | print.stbss |
Space Time Blind Source Separation | stbss stbss.default stbss.sftime stbss.STFDF stbss.STSDF |
Spatio-Temporal Kernel Matrices | stkmat |